Generative AI Developer

Job Description

Primary skill: GenAI

Secondary skill: ML algorithms, Python

Desired Competencies (Technical/Behavioral Competency)

Must-Have

• Hands-on knowledge in machine learning, deep learning, TensorFlow, Python, NLP
• Stay up to date on the latest AI emergences relevant to the business domain.
• Conduct research and development processes for AI strategies.
• Experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
• Experience with transformer models such as BERT, GPT, RoBERTa, etc, and a solid understanding of their underlying principles is a plus

Good-to-Have

• Have knowledge of software development methodologies, such as Agile or Scrum
• Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
• Have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
• Ensure the quality of code and applications through testing, peer review, and code analysis.
• Root cause analysis and bugs correction
• Familiarity with version control systems, preferably Git.
• Experience with building or maintaining cloud-native applications.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is Plus

Role descriptions / Expectations from the Role

• Design, Develop and configure GenAI applications to meet the business requirements.
• Optimizing existing generative AI models for improved performance, scalability, and efficiency
• Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation